Overview
Bioinformatics is the interdisciplinary field that applies computational, statistical, and mathematical methods to the management and analysis of biological data, particularly the large datasets generated by genomics, transcriptomics, and proteomics. It develops tools and algorithms to store, retrieve, and interpret molecular information, enabling researchers to infer the structure, function, and relationships of genes, proteins, and other biomolecules. Research in this area examines the role of bioinformatics in biotechnology and in disease diagnosis and treatment, including the analysis of disease-associated single-nucleotide polymorphisms and genes to identify proteins implicated in pathologies such as atherosclerosis. Studies also address proteome-scale analysis, the bioinformatics of metabolomics in conditions such as type 2 diabetes, the characterization of microRNAs and their regulatory targets, network-pharmacology strategies for predicting therapeutic targets, and computational analysis of genetic variants of uncertain significance. The integration of molecular data with clinical and biological knowledge supports applications in precision medicine, biomarker discovery, and drug development. The significance of bioinformatics lies in its capacity to transform raw molecular data into biological understanding, bridging laboratory experimentation and computational inference. As biological datasets continue to grow in scale and complexity, bioinformatics provides the analytical framework necessary to interpret genomes and proteomes, identify disease mechanisms, and guide diagnostic and therapeutic innovation across the life sciences and medicine.
Research published in this journal
12 peer-reviewed articles, ranked by relevance. Each links to its DOI.
Human Proteome Project and Current Bioinformatics Status in Disease Diagnosis and Treatment
Bioinformatics of Metabolomics in Diabetes Mellitus Type 2
Carbofuran Abrogates the Membrane Ca++-Atpase Activity in Liver: The Role of Cholesterol
MicroRNA-1285 Might Potentially Regulate OCT4 Gene Expression by Direct Targeting of its Promoter
Molecular Confirmation of Staphylococci Strain’s Identification Isolated in the Hospital and University Center of Brazzaville, Republic of Congo
Functional, Structural and Contextual Analysis of a Variant of Uncertain Clinical Significance in BRCA1: c.5434C->G (p. Pro1812Ala)
A Summary of Circular RNAs in Alzheimer's Disease
Proteome and Proteomics: from Single Protein to Whole Body
Bioinformatic Analysis of Coronary Disease Associated SNPs and Genes to Identify Proteins Potentially Involved in the Pathogenesis of Atherosclerosis
Quantification of Micrornas by Absolute Dpcr for the Diagnostic Screening of Colon Cancer
A Network Pharmacology-Based Strategy For Predicting Therapy Targets Of Beta-Sitosterol In Treating Diabetic Retinopathy
How this research is being cited
The 12 articles above have been cited 61 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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Diagnostic and Therapeutic Potential of Selected microRNAs in Colorectal Cancer: A Literature Review2025 · Cancers
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Diagnostic and Therapeutic Potential of Selected microRNAs in Colorectal Cancer: A Literature Review2025 · Cancers
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2025 · Chemical Communications
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2025 · Computational and Structural Biotechnology Journal
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2025 · Journal of Molecular Structure
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2025 · Journal of Molecular Structure
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Cynthia Al Hageh et al. · 2025 · Computational and Structural Biotechnology Journal
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2025 · Chemical Communications
A sample of recent works citing this journal's research on Bioinformatics, linking to each citing work.